myatsu/whisper-small-burmese-v2

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whisper-small-burmese-v2

This model is a fine-tuned version of myatsu/whisper-small-burmese on the Myanmar Speech Dataset (OpenSLR-80) dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1623
• —Wer: 67.3642
• —Cer: 24.9554

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-06
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —training_steps: 1000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.0+cu126
• —Datasets 4.4.2
• —Tokenizers 0.22.1